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Remote Computer Science Sports Jobs (NOW HIRING)

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Computer Science , Statistics , Biology , Electrical/Mechanical/Civil Engineering , Physics ...

Elder Research

Data Scientist (Remote)

... science, computer science, operations research or other closely related other quantitative or ... Area - Remote (candidates MUST BE located in the National Capital Region - DMV) • Clearance ...

PrizePicks

Data Science Manager - Sports Pricing

Atlanta, GA · On-site +1

$160K - $190K/yr

... data scientists. * Oversee development and deployment of pricing models across major sports and ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

The Pennsylvania State University

$76K - $164K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... A degree in computer science, statistics, mathematics, or applied mathematics * Current eligibility ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

SumerSports LLC

Computer Vision Engineer

$114K - $134K/yr

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... We're hiring a hands-on Computer Vision Engineer to build and improve sports video intelligence ...

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Remote Computer Science Sports information

What are the key skills and qualifications needed to thrive as a Remote Computer Science Sports Analyst, and why are they important?

To excel as a Remote Computer Science Sports Analyst, you typically need a strong background in computer science, data analysis, and a solid understanding of sports statistics, often supported by a relevant degree. Familiarity with programming languages (such as Python or R), sports analytics software, and data visualization tools is crucial. Excellent problem-solving skills, attention to detail, and effective remote communication set top performers apart. These capabilities enable accurate analysis, actionable insights, and seamless collaboration with teams or clients in a digital sports environment.

What is a Remote Computer Science Sports job?

A Remote Computer Science Sports job involves using computer science skills, such as programming, data analysis, and software development, to support sports-related projects or organizations while working from a remote location. This can include roles like sports data analyst, software engineer for sports apps, or developers working on technologies for sports analytics, wearable devices, or e-sports platforms. Professionals in this field often collaborate with coaches, athletes, and sports organizations to enhance performance, analyze statistics, or create innovative solutions for the sports industry. The remote aspect allows for flexibility and the ability to work with teams and clients from around the world.

How do remote computer science professionals contribute to sports organizations, and what unique challenges do they face working offsite?

Remote computer science professionals in the sports industry typically work on projects such as data analysis, software development, and system integration to enhance team performance, fan engagement, or operational efficiency. Working remotely, they rely heavily on digital collaboration tools and clear communication with coaches, analysts, and other stakeholders. A common challenge is staying aligned with fast-paced changes and ensuring real-time data accuracy, especially during live events. However, remote roles offer flexibility and the opportunity to work on innovative tech-driven projects from anywhere, while still making a significant impact on sports outcomes.
More about Remote Computer Science Sports jobs
What cities are hiring for Remote Computer Science Sports jobs? Cities with the most Remote Computer Science Sports job openings:
What are the most commonly searched types of Computer Science Sports jobs? The most popular types of Computer Science Sports jobs are:
What states have the most Remote Computer Science Sports jobs? States with the most job openings for Remote Computer Science Sports jobs include:
What job categories do people searching Remote Computer Science Sports jobs look for? The top searched job categories for Remote Computer Science Sports jobs are:
Remote Computer Science Sports jobs near you
Infographic showing various Remote Computer Science Sports job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution.
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Posted 11 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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